118 citations · 370 across the 64 of their papers we have counts for
7 papers · 1 filter
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
Yiming Wang, Qin Han, Marc Habermann +3
Recent methods for neural surface representation and rendering, for example NeuS, have demonstrated the remarkably high-quality reconstruction of static scenes. However, the traini…
HiFECap: Monocular High-Fidelity and Expressive Capture of Human Performances
Yue Jiang, Marc Habermann, Vladislav Golyanik +1
Monocular 3D human performance capture is indispensable for many applications in computer graphics and vision for enabling immersive experiences. However, detailed capture of human…
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Edith Tretschk, Navami Kairanda, Mallikarjun B R +7
3D reconstruction of deformable (or non-rigid) scenes from a set of monocular 2D image observations is a long-standing and actively researched area of computer vision and graphics.…
HDHumans: A Hybrid Approach for High-fidelity Digital Humans
Marc Habermann, Lingjie Liu, Weipeng Xu +3
Photo-real digital human avatars are of enormous importance in graphics, as they enable immersive communication over the globe, improve gaming and entertainment experiences, and ca…
Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination
Linjie Lyu, Ayush Tewari, Thomas Leimkuehler +2
Given a set of images of a scene, the re-rendering of this scene from novel views and lighting conditions is an important and challenging problem in Computer Vision and Graphics. O…
Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model
Erik C. M. Johnson, Marc Habermann, Soshi Shimada +2
Capturing general deforming scenes from monocular RGB video is crucial for many computer graphics and vision applications. However, current approaches suffer from drawbacks such as…
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann +4
Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recordin…